Dynamic relaxation method based on Lanczos algorithm
type: Item
instance of: scholarly article
title: Dynamic relaxation method based on Lanczos algorithm
zbMATH Open document ID: 1548.65085
author: Amir Hossein Namadchi
author: Javad Alamatian
published in: International Journal for Numerical Methods in Engineering
publication date: 2024-06-18T00:00:00Z
Mathematics Subject Classification ID: 65F10
Mathematics Subject Classification ID: 65M22
Mathematics Subject Classification ID: 65N22
zbMATH DE Number: 7867150
zbMATH Keywords: dynamic relaxation
zbMATH Keywords: Lanczos algorithm
zbMATH Keywords: nonlinear analysis
zbMATH Keywords: explicit solver
MaRDI profile type: Publication
cites work: Q3671072
cites work: A method for the automatic evaluation of the dynamic relaxation parameters
cites work: Transient and pseudo-transient analysis of Mindlin plates
cites work: Accelerated ‘relaxation’ or direct solution? Future prospects for fem
cites work: Optimum load time history for non‐linear analysis using dynamic relaxation
cites work: NON-LINEAR STRUCTURAL RESPONSE USING ADAPTIVE DYNAMIC RELAXATION ON A MASSIVELY PARALLEL-PROCESSING SYSTEM
cites work: Post‐buckling analysis of structures by dynamic relaxation
cites work: Inelastic post‐buckling analysis of truss structures by dynamic relaxation method
cites work: A new fictitious time for the dynamic relaxation (DXDR) method
cites work: Adaptive damping for dynamic relaxation problems with non-monotonic spectral response
cites work: Modified adaptive Dynamic Relaxation method and its application to elastic-plastic bending and wrinkling of circular plates
cites work: Development of the maDR method
cites work: Lanczos Algorithms for Large Symmetric Eigenvalue Computations
cites work: The Lanczos Algorithm with Selective Orthogonalization
cites work: Q3613032
cites work: Nonlinear finite element analysis of solids and structures
cites work: A geometric and material nonlinear plate and shell element
cites work: Finite element analysis of geometrically nonlinear plate behaviour using a mindlin formulation
cites work: Advances in computational dynamics of particles, materials and structures.
DOI: 10.1002/NME.5565
description: scientific article; zbMATH DE number 7867150